datapythonista commented on code in PR #2730:
URL: https://github.com/apache/arrow-rs/pull/2730#discussion_r972079444
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parquet/src/arrow/mod.rs:
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@@ -66,26 +66,24 @@
//! # Example of reading parquet file into arrow record batch
//!
//! ```rust
-//! use arrow::record_batch::RecordBatchReader;
-//! use parquet::file::reader::{FileReader, SerializedFileReader};
-//! use parquet::arrow::{ParquetFileArrowReader, ArrowReader, ProjectionMask};
-//! use std::sync::Arc;
//! use std::fs::File;
+//! use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder;
//!
+//! # use std::sync::Arc;
//! # use arrow::array::Int32Array;
//! # use arrow::datatypes::{DataType, Field, Schema};
//! # use arrow::record_batch::RecordBatch;
//! # use parquet::arrow::arrow_writer::ArrowWriter;
+//! #
//! # let ids = Int32Array::from(vec![1, 2, 3, 4]);
//! # let schema = Arc::new(Schema::new(vec![
-//! # Field::new("id", DataType::Int32, false),
+//! # Field::new("id", DataType::Int32, false),
//! # ]));
//! #
//! # // Write to a memory buffer (can also write to a File)
Review Comment:
Thanks for the heads up, I didn't realize. I just removed it, I don't think
it adds much value to say we're writing to the file here. But let me know if
you've got a better idea.
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